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Avinash Pagadala | Quant Systems & MQL5 Algorithmic Engineer

Systematic MQL5 engines — research, risk, and execution without emotional trading.

I design systematic trading tools that reduce emotional decision-making and make execution, risk, and testing clearer for retail and prop-minded traders.

About me
Nearly a decade in the markets — I started as a retail trader, bought indicators and EAs, backtested, went live, and learned the hard way. For several years, losses and inconsistency were driven less by “bad charts” and more by fear, greed, overtrading, and human error. That experience pushed me into MQL5: if the edge is real, it should be codable, testable, and controllable.

Flagship direction — Akshaya Prajna (Sovereign Nexus)
An evolving quantitative architecture focused on regime awareness, execution discipline, and capital preservation — not hype signals. Systems are developed with careful research, structured testing, and practical broker realities (spread, slippage, session behavior).

What I build
• Expert Advisors for systematic multi-asset use (including XAUUSD and major FX), with clear inputs and risk controls
• Indicators & HUD dashboards for order-flow style context, active risk view, and live system telemetry
• Execution & protection modules: staged entries, virtual risk levels where appropriate, and prop-style daily/max loss guardrails
• Research stack: regime models, ML/ONNX where it adds value, microstructure context (e.g. CVD / imbalance concepts), and volatility-aware sizing
• Services: MQL4/MQL5 optimization, bug remediation, strategy audit, and stress-testing support

How I work with buyers
Zero “holy grail” promises. I explain what a tool does, what it does not do, and how to set it up. Documentation and straightforward support after purchase. Please verify on demo first with your broker’s conditions.

Risk disclaimer
Trading involves substantial risk of loss. Backtests and past results do not guarantee future live performance. Use risk you can afford.
Friends 2
Avinash Pagadala Published product

XAU ATR Expansion H4 Expert Advisor for MetaTrader 5 — Gold / XAUUSD focus Version: 1.00 What it is XAU ATR Expansion H4 is an Expert Advisor for gold on the H4 chart. ATR expansion breakout with trail-style risk on gold H4. Built for structured automated participation — not grid , not martingale . Evaluate on your broker and risk profile before any live use. This product is a technical system . Exact thresholds and entry equations remain internal product design and are not published here

Avinash Pagadala Published product

XAU Keltner Expansion H4 Expert Advisor for MetaTrader 5 — Gold / XAUUSD focus Version: 1.00 What it is XAU Keltner Expansion H4 is an Expert Advisor for gold on the H4 chart. Channel expansion trend participation for gold H4. Built for structured automated participation — not grid , not martingale . Evaluate on your broker and risk profile before any live use. This product is a technical system . Exact thresholds and entry equations remain internal product design and are not published here

Avinash Pagadala Published product

XAU Momentum Rank H4 Expert Advisor for MetaTrader 5 — Gold / XAUUSD focus Version: 1.00 What it is XAU Momentum Rank H4 is an Expert Advisor for gold on the H4 chart. Cross-sectional style momentum ranking adapted to single-symbol gold H4. Built for structured automated participation — not grid , not martingale . Evaluate on your broker and risk profile before any live use. This product is a technical system . Exact thresholds and entry equations remain internal product design and are not

Avinash Pagadala Published product

XAU Turn of Month D1 Expert Advisor for MetaTrader 5 — Gold / XAUUSD focus Version: 1.00 What it is XAU Turn of Month D1 is an Expert Advisor for gold on the D1 chart. It focuses on structured participation around the turn-of-month calendar rhythm — a low-frequency calendar-window style, not a high-churn scalper. Built for structured automated participation — not grid , not martingale . Evaluate on demo with your broker's spreads and your own risk profile. This product is a technical calendar

Avinash Pagadala Published product

XAU NR7 Range Break H4 Expert Advisor for MetaTrader 5 — Gold / XAUUSD focus Version: 1.00 What it is XAU NR7 Range Break H4 is an Expert Advisor for gold on the H4 chart. Architecture is deliberate and high-tension: Compress — the market tightens into a compressed range episode. Break — price punches through the mapped range lid or floor. Expand — the system joins the directional expansion with selectable exit style. Built for structured automated participation — not grid , not martingale

Avinash Pagadala Published product

XAU Structure Pullback H1 Expert Advisor for MetaTrader 5 — Gold / XAUUSD focus Version: 1.00 What it is XAU Structure Pullback H1 is an Expert Advisor for gold on the H1 chart. Architecture is simple and deliberate: Impulse — a clear directional displacement is identified on structure. Pullback band — price retraces into a mapped structure participation band. Continue — the system joins the continuing direction with selectable exit style. Built for structured automated participation — not grid

Avinash Pagadala Published product

XAU Gap Fill Rider D1 Expert Advisor for MetaTrader 5 — Gold / XAUUSD focus Version: 1.00 What it is XAU Gap Fill Rider D1 is an Expert Advisor for gold on the D1 chart. It participates when daily price interacts with technical imbalance zones derived from OHLC geometry, then manages the position with selectable exit styles. Built for structured automated participation — not grid , not martingale . Evaluate on demo with your broker's spreads and your own risk profile. This product is a technical

Avinash Pagadala Published product

XAU Rate Momentum Rider D1 Expert Advisor for MetaTrader 5 — Gold / XAUUSD focus Version: 1.00 What it is XAU Rate Momentum Rider D1 is an Expert Advisor for gold on the D1 chart. It uses a technical daily-return momentum proxy (not live central-bank rates) to participate when price displaces beyond a sensitivity threshold, then manages the position with selectable exit styles. Built for structured automated participation — not grid , not martingale . Evaluate on demo with your broker’s spreads

Avinash Pagadala Published product

XAU Swing Structure Rider H4 Expert Advisor for MetaTrader 5 — Gold / XAUUSD focus Version: 1.10 What it is XAU Swing Structure Rider H4 is a swing-oriented Expert Advisor for gold on the H4 chart. It participates when market structure supports a directional swing and manages risk with selectable exit modes (including reward–risk style targets and an optional volatility trail). Built for structured swing participation — not grid , not martingale . Evaluate on demo with your broker’s spreads and

Avinash Pagadala Published product

XAU Pulse M30 ============= Expert Advisor for MetaTrader 5 — XAUUSD M30 trend / SMA reverse with UTC session filters, flexible lot sizing, optional recovery modes, basket risk filter, and an on-chart HUD. Recommended environment ----------------------- - Symbol: XAUUSD (broker suffixes such as XAUUSD.m / XAUUSDm are fine) - Chart period: M30 - The EA reads M30 bars for signals even if attached to another chart period. - XAUUSD + M30 is the intended configuration. Other symbols/timeframes are

From retail losses to systematic MQL5 tools — hello from Avinash
Avinash Pagadala
Avinash Pagadala
Hello everyone,

I spent years buying tools and EAs, then learning the hard way that fear, greed, and human error cost more than any indicator ever saved me.

My name is Avinash Pagadala. I’ve been in the markets for about 8–10 years, starting as a typical retail trader. I chased setups, trusted black-box products, and paid tuition in drawdowns. Those losses taught me more than any “winning strategy” sales page ever did.

What I learned, briefly:

- Discretionary trading under stress is fragile.
- Edge without risk rules is not an edge.
- There is no holy grail, no secret institutional switch, and no honest way to promise an 80% win rate or to “outsmart the broker.”
- Systems that survive are boring on purpose: clear rules, measurable risk, and honest failure analysis.

I’m here because I now build systematic MQL5 tools for retail traders — research-first, process-first. Under Akshaya Prajna, my flagship direction is XAUUSD systematic approaches. One work-in-progress in that line is XAU_Pulse_M30 (early stage; not a finished product pitch). I use AI carefully as a research assistant, not as a substitute for testing, risk limits, or accountability.

What I plan to share in this community

- Transparent research notes (what worked, what failed, and why)
- MQL5 ideas, snippets, and tool design discussions
- Questions and experiments around systematic XAUUSD / gold approaches
- Feedback loops — I learn faster when others challenge my assumptions

I’m not selling a dream in this post. I’m introducing myself and inviting discussion. If you’ve walked a similar path — retail chaos → systematic building — I’d genuinely like to hear what you found useful (and what you abandoned).

Questions, critique, and suggestions are welcome.

Disclaimer: Trading involves substantial risk of loss. Nothing here is financial advice or a performance guarantee. Past results (mine or anyone else’s) do not predict future results. Always test thoroughly and risk only capital you can afford to lose.

— Avinash Pagadala
Akshaya Prajna · Systematic MQL5 · XAUUSD researchHello everyone,

I spent years buying tools and EAs, then learning the hard way that fear, greed, and human error cost more than any indicator ever saved me.

My name is Avinash Pagadala. I’ve been in the markets for about 8–10 years, starting as a typical retail trader. I chased setups, trusted black-box products, and paid tuition in drawdowns. Those losses taught me more than any “winning strategy” sales page ever did.

What I learned, briefly:

- Discretionary trading under stress is fragile.
- Edge without risk rules is not an edge.
- There is no holy grail, no secret institutional switch, and no honest way to promise an 80% win rate or to “outsmart the broker.”
- Systems that survive are boring on purpose: clear rules, measurable risk, and honest failure analysis.

I’m here because I now build systematic MQL5 tools for retail traders — research-first, process-first. Under Akshaya Prajna, my flagship direction is XAUUSD systematic approaches. One work-in-progress in that line is XAU_Pulse_M30 (early stage; not a finished product pitch). I use AI carefully as a research assistant, not as a substitute for testing, risk limits, or accountability.

What I plan to share in this community

- Transparent research notes (what worked, what failed, and why)
- MQL5 ideas, snippets, and tool design discussions
- Questions and experiments around systematic XAUUSD / gold approaches
- Feedback loops — I learn faster when others challenge my assumptions

I’m not selling a dream in this post. I’m introducing myself and inviting discussion. If you’ve walked a similar path — retail chaos → systematic building — I’d genuinely like to hear what you found useful (and what you abandoned).

Questions, critique, and suggestions are welcome.

Disclaimer: Trading involves substantial risk of loss. Nothing here is financial advice or a performance guarantee. Past results (mine or anyone else’s) do not predict future results. Always test thoroughly and risk only capital you can afford to lose.

— Avinash Pagadala
Akshaya Prajna · Systematic MQL5 · XAUUSD research
1
Avinash Pagadala
Avinash Pagadala
Hello everyone,

I spent years buying tools and EAs, then learning the hard way that fear, greed, and human error cost more than any indicator ever saved me.

My name is Avinash Pagadala. I’ve been in the markets for about 8–10 years, starting as a typical retail trader. I chased setups, trusted black-box products, and paid tuition in drawdowns. Those losses taught me more than any “winning strategy” sales page ever did.

What I learned, briefly:

- Discretionary trading under stress is fragile.
- Edge without risk rules is not an edge.
- There is no holy grail, no secret institutional switch, and no honest way to promise an 80% win rate or to “outsmart the broker.”
- Systems that survive are boring on purpose: clear rules, measurable risk, and honest failure analysis.

I’m here because I now build systematic MQL5 tools for retail traders — research-first, process-first. Under Akshaya Prajna, my flagship direction is XAUUSD systematic approaches. One work-in-progress in that line is XAU_Pulse_M30 (early stage; not a finished product pitch). I use AI carefully as a research assistant, not as a substitute for testing, risk limits, or accountability.

What I plan to share in this community

- Transparent research notes (what worked, what failed, and why)
- MQL5 ideas, snippets, and tool design discussions
- Questions and experiments around systematic XAUUSD / gold approaches
- Feedback loops — I learn faster when others challenge my assumptions

I’m not selling a dream in this post. I’m introducing myself and inviting discussion. If you’ve walked a similar path — retail chaos → systematic building — I’d genuinely like to hear what you found useful (and what you abandoned).

Questions, critique, and suggestions are welcome.

Disclaimer: Trading involves substantial risk of loss. Nothing here is financial advice or a performance guarantee. Past results (mine or anyone else’s) do not predict future results. Always test thoroughly and risk only capital you can afford to lose.

— Avinash Pagadala
Akshaya Prajna · Systematic MQL5 · XAUUSD research
Avinash Pagadala
Registered at MQL5.community
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